

Table 1
|
0 (N=118) |
1 (N=159) |
Overall (N=277) |
Gender |
|
|
|
Female |
54 (45.8%) |
63 (39.6%) |
117 (42.2%) |
Male |
64 (54.2%) |
96 (60.4%) |
160 (57.8%) |
Age |
|
|
|
Mean (SD) |
68.1 (13.2) |
70.9 (11.2) |
69.7 (12.2) |
Median [Q1,Q3] |
69.0 [58.3,78.0] |
71.0 [65.5,79.0] |
70.0 [62.0,78.0] |
Race_Group |
|
|
|
White |
66 (55.9%) |
107 (67.3%) |
173 (62.5%) |
Asian |
5 (4.2%) |
11 (6.9%) |
16 (5.8%) |
Black |
28 (23.7%) |
24 (15.1%) |
52 (18.8%) |
Other |
19 (16.1%) |
17 (10.7%) |
36 (13.0%) |
LOS |
|
|
|
Mean (SD) |
11.2 (10.6) |
8.50 (6.32) |
9.64 (8.50) |
Median [Q1,Q3] |
7.00 [4.25,13.5] |
7.00 [4.00,10.5] |
7.00 [4.00,11.0] |
HTN |
|
|
|
N |
2 (1.7%) |
5 (3.1%) |
7 (2.5%) |
Y |
116 (98.3%) |
154 (96.9%) |
270 (97.5%) |
DM |
|
|
|
N |
24 (20.3%) |
41 (25.8%) |
65 (23.5%) |
Y |
94 (79.7%) |
118 (74.2%) |
212 (76.5%) |
CAD |
|
|
|
N |
15 (12.7%) |
20 (12.6%) |
35 (12.6%) |
Y |
103 (87.3%) |
139 (87.4%) |
242 (87.4%) |
Hgb |
|
|
|
Mean (SD) |
9.94 (1.50) |
10.1 (1.72) |
10.0 (1.63) |
Median [Q1,Q3] |
9.80 [8.93,10.8] |
10.0 [8.90,11.3] |
10.0 [8.90,11.1] |
HCT_admit |
|
|
|
Mean (SD) |
31.4 (4.84) |
32.0 (5.58) |
31.7 (5.28) |
Median [Q1,Q3] |
31.2 [28.1,34.4] |
31.5 [28.1,35.4] |
31.3 [28.1,35.2] |
HCT_discharge |
|
|
|
Mean (SD) |
29.2 (3.94) |
30.7 (4.56) |
30.1 (4.36) |
Median [Q1,Q3] |
29.0 [26.6,31.7] |
30.4 [27.5,33.2] |
29.8 [27.1,32.4] |
Iron |
|
|
|
Mean (SD) |
54.4 (27.4) |
51.4 (32.6) |
52.5 (30.7) |
Median [Q1,Q3] |
49.0 [37.5,67.0] |
43.5 [31.0,60.0] |
45.0 [32.3,63.5] |
Missing |
35 (29.7%) |
19 (11.9%) |
54 (19.5%) |
Ferritin |
|
|
|
Mean (SD) |
985 (769) |
1310 (3970) |
1190 (3200) |
Median [Q1,Q3] |
785 [326,1430] |
821 [439,1320] |
810 [370,1380] |
Missing |
39 (33.1%) |
22 (13.8%) |
61 (22.0%) |
TIBC |
|
|
|
Mean (SD) |
195 (50.8) |
196 (63.1) |
195 (58.7) |
Median [Q1,Q3] |
188 [162,224] |
190 [159,225] |
189 [161,225] |
Missing |
38 (32.2%) |
24 (15.1%) |
62 (22.4%) |
TSAT |
|
|
|
Mean (SD) |
21.9 (8.52) |
36.5 (48.5) |
35.0 (46.2) |
Median [Q1,Q3] |
18.5 [16.5,28.0] |
25.0 [17.5,34.0] |
23.0 [17.0,34.0] |
Missing |
110 (93.2%) |
88 (55.3%) |
198 (71.5%) |
NT_proBNP |
|
|
|
Mean (SD) |
43100 (34800) |
46600 (48400) |
45100 (43300) |
Median [Q1,Q3] |
35200 [15900,70000] |
31600 [14300,58400] |
32700 [14600,64900] |
Missing |
14 (11.9%) |
8 (5.0%) |
22 (7.9%) |
troponin_T |
|
|
|
Mean (SD) |
0.388 (0.649) |
1.03 (7.15) |
0.770 (5.51) |
Median [Q1,Q3] |
0.160 [0.0600,0.330] |
0.105 [0.0600,0.233] |
0.120 [0.0600,0.260] |
Missing |
57 (48.3%) |
71 (44.7%) |
128 (46.2%) |
hTS |
|
|
|
Mean (SD) |
267 (381) |
213 (324) |
236 (348) |
Median [Q1,Q3] |
168 [75.5,275] |
128 [81.8,253] |
145 [78.5,270] |
Missing |
72 (61.0%) |
95 (59.7%) |
167 (60.3%) |
RVSP |
|
|
|
Mean (SD) |
45.6 (16.4) |
49.9 (13.1) |
47.9 (14.8) |
Median [Q1,Q3] |
44.0 [34.8,54.9] |
48.0 [41.0,56.8] |
46.0 [39.0,55.0] |
Missing |
33 (28.0%) |
61 (38.4%) |
94 (33.9%) |
EF |
|
|
|
Mean (SD) |
48.4 (14.5) |
55.2 (16.5) |
52.3 (16.0) |
Median [Q1,Q3] |
50.0 [40.0,60.0] |
59.0 [46.0,67.0] |
55.0 [40.0,65.0] |
Missing |
21 (17.8%) |
28 (17.6%) |
49 (17.7%) |
LA_index |
|
|
|
Mean (SD) |
52.1 (20.3) |
47.0 (11.6) |
47.7 (13.2) |
Median [Q1,Q3] |
44.7 [38.8,54.6] |
46.3 [40.2,53.2] |
46.2 [40.2,53.4] |
Missing |
99 (83.9%) |
43 (27.0%) |
142 (51.3%) |
UF_rate |
|
|
|
Mean (SD) |
10.3 (6.01) |
9.85 (4.14) |
10.1 (5.02) |
Median [Q1,Q3] |
9.52 [6.17,12.8] |
9.46 [6.84,12.7] |
9.46 [6.77,12.7] |
EDW |
|
|
|
Mean (SD) |
76.9 (22.6) |
78.0 (21.6) |
77.5 (22.0) |
Median [Q1,Q3] |
74.9 [60.0,87.3] |
72.3 [64.7,92.4] |
74.3 [62.8,89.3] |
Missing |
0 (0%) |
1 (0.6%) |
1 (0.4%) |
admit_Weight |
|
|
|
Mean (SD) |
80.7 (22.9) |
82.3 (22.5) |
81.6 (22.6) |
Median [Q1,Q3] |
77.7 [64.0,90.2] |
77.1 [67.8,97.1] |
77.4 [65.9,93.2] |
Missing |
1 (0.8%) |
0 (0%) |
1 (0.4%) |
HF_score |
|
|
|
Mean (SD) |
2.16 (0.837) |
1.91 (0.810) |
2.01 (0.830) |
Median [Q1,Q3] |
2.00 [1.00,3.00] |
2.00 [1.00,3.00] |
2.00 [1.00,3.00] |
Dialysis_Vintage |
|
|
|
Mean (SD) |
3.35 (4.55) |
3.40 (3.41) |
3.38 (3.93) |
Median [Q1,Q3] |
2.00 [1.00,4.00] |
2.00 [1.00,4.00] |
2.00 [1.00,4.00] |
Access_type |
|
|
|
AVF |
88 (74.6%) |
93 (58.5%) |
181 (65.3%) |
AVG |
7 (5.9%) |
23 (14.5%) |
30 (10.8%) |
TDC |
23 (19.5%) |
43 (27.0%) |
66 (23.8%) |
decongestion_time_days |
|
|
|
Mean (SD) |
2.70 (3.21) |
1.50 (1.80) |
2.01 (2.56) |
Median [Q1,Q3] |
2.00 [0.250,3.75] |
1.00 [0,2.00] |
2.00 [0,3.00] |
type_of_oxygen |
|
|
|
Bipap to RA |
0 (0%) |
1 (0.6%) |
1 (0.4%) |
CPAP to RA |
0 (0%) |
1 (0.6%) |
1 (0.4%) |
Intubated to RA |
0 (0%) |
2 (1.3%) |
2 (0.7%) |
Intube to RA |
2 (1.7%) |
0 (0%) |
2 (0.7%) |
NC to Baseline |
2 (1.7%) |
0 (0%) |
2 (0.7%) |
NC to baseline NC |
2 (1.7%) |
15 (9.4%) |
17 (6.1%) |
NC to NC |
0 (0%) |
1 (0.6%) |
1 (0.4%) |
NC to RA |
77 (65.3%) |
79 (49.7%) |
156 (56.3%) |
NINV to baseline NC |
1 (0.8%) |
0 (0%) |
1 (0.4%) |
NINV to RA |
3 (2.5%) |
0 (0%) |
3 (1.1%) |
NRB to NC |
0 (0%) |
1 (0.6%) |
1 (0.4%) |
NRB to RA |
0 (0%) |
3 (1.9%) |
3 (1.1%) |
RA |
31 (26.3%) |
55 (34.6%) |
86 (31.0%) |
Vent to RA |
0 (0%) |
1 (0.6%) |
1 (0.4%) |
n_90 |
|
|
|
Mean (SD) |
0.847 (0.975) |
0.497 (0.778) |
0.646 (0.883) |
Median [Q1,Q3] |
1.00 [0,1.00] |
0 [0,1.00] |
0 [0,1.00] |
n_180 |
|
|
|
Mean (SD) |
1.36 (1.63) |
0.736 (1.03) |
1.00 (1.35) |
Median [Q1,Q3] |
1.00 [0,2.00] |
0 [0,1.00] |
1.00 [0,1.00] |
Balance check before
## Balance Measures
## Type M.0.Un SD.0.Un M.1.Un SD.1.Un Diff.Un
## Age Contin. 68.0508 13.2277 70.8868 11.2227 0.2312
## Race_Group_White Binary 0.5593 . 0.6730 . 0.1136
## Race_Group_Asian Binary 0.0424 . 0.0692 . 0.0268
## Race_Group_Black Binary 0.2373 . 0.1509 . -0.0863
## Race_Group_Other Binary 0.1610 . 0.1069 . -0.0541
## Gender_Male Binary 0.5424 . 0.6038 . 0.0614
## CAD_Y Binary 0.8729 . 0.8742 . 0.0013
## HTN_Y Binary 0.9831 . 0.9686 . -0.0145
## DM_Y Binary 0.7966 . 0.7421 . -0.0545
## HF_score Contin. 2.1610 0.8369 1.9057 0.8097 -0.3101
## Dialysis_Vintage Contin. 3.3475 4.5524 3.3962 3.4089 0.0121
## Access_type_AVF Binary 0.7458 . 0.5849 . -0.1609
## Access_type_AVG Binary 0.0593 . 0.1447 . 0.0853
## Access_type_TDC Binary 0.1949 . 0.2704 . 0.0755
## Location_HH Binary 0.2966 . 0.1069 . -0.1897
##
## Sample sizes
## Control Treated
## All 118 159
Balance check after
## Balance Measures
## Type M.0.Adj SD.0.Adj M.1.Adj SD.1.Adj Diff.Adj
## Age Contin. 69.5304 12.2024 68.9485 12.9026 -0.0474
## Race_Group_White Binary 0.6114 . 0.6259 . 0.0146
## Race_Group_Asian Binary 0.0413 . 0.0588 . 0.0175
## Race_Group_Black Binary 0.2111 . 0.1871 . -0.0240
## Race_Group_Other Binary 0.1362 . 0.1281 . -0.0080
## Gender_Male Binary 0.5675 . 0.5864 . 0.0188
## CAD_Y Binary 0.8782 . 0.8742 . -0.0040
## HTN_Y Binary 0.9837 . 0.9699 . -0.0138
## DM_Y Binary 0.7709 . 0.7721 . 0.0012
## HF_score Contin. 2.0611 0.8458 2.0142 0.8340 -0.0569
## Dialysis_Vintage Contin. 3.9764 6.3354 3.2970 3.4354 -0.1689
## Access_type_AVF Binary 0.7248 . 0.6241 . -0.1007
## Access_type_AVG Binary 0.0661 . 0.1151 . 0.0490
## Access_type_TDC Binary 0.2091 . 0.2609 . 0.0518
## Location_HH Binary 0.2050 . 0.1584 . -0.0465
##
## Effective sample sizes
## Control Treated
## Unadjusted 118. 159.
## Adjusted 98.12 131.37
Univariate linear regression outcome los
outcome los
Characteristic |
N |
Beta |
95% CI |
p-value |
group |
529 |
|
|
|
    BWH |
|
— |
— |
|
    MGH |
|
-2.1 |
-4.2, -0.06 |
0.044 |
Age |
529 |
-0.01 |
-0.09, 0.07 |
0.842 |
Gender |
529 |
|
|
|
    Female |
|
— |
— |
|
    Male |
|
1.7 |
-0.36, 3.8 |
0.107 |
Race_Group |
529 |
|
|
|
    White |
|
— |
— |
|
    Asian |
|
-5.0 |
-9.7, -0.29 |
0.038 |
    Black |
|
-3.4 |
-6.0, -0.77 |
0.012 |
    Other |
|
-2.9 |
-5.9, 0.22 |
0.070 |
HTN |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
-5.5 |
-12, 1.3 |
0.114 |
DM |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
2.3 |
-0.11, 4.8 |
0.062 |
CAD |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
4.5 |
1.4, 7.6 |
0.005 |
Dialysis_Vintage |
529 |
0.11 |
-0.10, 0.31 |
0.308 |
HF_score |
529 |
1.5 |
0.30, 2.7 |
0.016 |
weight.ATE |
529 |
0.29 |
-0.55, 1.1 |
0.504 |
Univariate linear regression outcome log_los
outcome log_los
Characteristic |
N |
Beta |
95% CI |
p-value |
group |
529 |
|
|
|
    BWH |
|
— |
— |
|
    MGH |
|
-8.81 |
-23.71, 8.99 |
0.311 |
Age |
529 |
0.00 |
-0.71, 0.72 |
0.995 |
Gender |
529 |
|
|
|
    Female |
|
— |
— |
|
    Male |
|
15.92 |
-3.17, 38.77 |
0.109 |
Race_Group |
529 |
|
|
|
    White |
|
— |
— |
|
    Asian |
|
-34.71 |
-56.63, -1.73 |
0.042 |
    Black |
|
-23.48 |
-39.03, -3.97 |
0.022 |
    Other |
|
-20.21 |
-38.91, 4.22 |
0.099 |
HTN |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
-32.71 |
-62.71, 21.42 |
0.189 |
DM |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
34.70 |
9.21, 66.13 |
0.006 |
CAD |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
51.64 |
16.15, 97.98 |
0.002 |
Dialysis_Vintage |
529 |
1.10 |
-0.66, 2.90 |
0.224 |
HF_score |
529 |
12.96 |
1.62, 25.57 |
0.025 |
weight.ATE |
529 |
2.04 |
-5.14, 9.75 |
0.588 |
Multivariate linear regression los: age gender race
outcome los
Characteristic |
N |
Beta |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
-2.2 |
-4.2, -0.16 |
0.035 |
Age |
529 |
-0.03 |
-0.12, 0.05 |
0.455 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
1.4 |
-0.70, 3.5 |
0.192 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
-4.6 |
-9.3, 0.12 |
0.057 |
    Black |
105 |
-3.7 |
-6.4, -1.0 |
0.008 |
    Other |
69 |
-2.4 |
-5.6, 0.71 |
0.130 |
Multivariate linear regression log_los : age gender race
outcome log_los
Characteristic |
N |
Beta |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
-9.22 |
-23.92, 8.32 |
0.284 |
Age |
529 |
-0.16 |
-0.90, 0.59 |
0.677 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
13.21 |
-5.84, 36.11 |
0.188 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
-33.26 |
-55.76, 0.69 |
0.055 |
    Black |
105 |
-24.56 |
-40.50, -4.35 |
0.021 |
    Other |
69 |
-16.94 |
-36.97, 9.46 |
0.189 |
Multivariate linear regression los : group+
Age+Gender+Race_Group+HTN+DM+CAD+Dialysis_Vintage+HF_score
outcome los
Characteristic |
N |
Beta |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
-2.0 |
-4.0, -0.06 |
0.045 |
Age |
529 |
-0.05 |
-0.14, 0.03 |
0.209 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
0.72 |
-1.4, 2.8 |
0.503 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
-4.1 |
-8.7, 0.55 |
0.085 |
    Black |
105 |
-3.0 |
-5.7, -0.34 |
0.028 |
    Other |
69 |
-2.6 |
-5.7, 0.59 |
0.112 |
HTN |
|
|
|
|
    N |
12 |
— |
— |
|
    Y |
516 |
-4.8 |
-11, 1.8 |
0.155 |
DM |
|
|
|
|
    N |
120 |
— |
— |
|
    Y |
408 |
2.2 |
-0.37, 4.8 |
0.094 |
CAD |
|
|
|
|
    N |
65 |
— |
— |
|
    Y |
463 |
3.0 |
-0.23, 6.3 |
0.070 |
Dialysis_Vintage |
529 |
0.18 |
-0.02, 0.39 |
0.085 |
HF_score |
529 |
1.5 |
0.29, 2.7 |
0.016 |
Multivariate linear regression log_los : group+
Age+Gender+Race_Group+HTN+DM+CAD+Dialysis_Vintage+HF_score
outcome log_los
Characteristic |
N |
Beta |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
-0.08 |
-0.25, 0.09 |
0.360 |
Age |
529 |
0.00 |
-0.01, 0.00 |
0.390 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
0.06 |
-0.13, 0.24 |
0.547 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
-0.36 |
-0.76, 0.04 |
0.083 |
    Black |
105 |
-0.22 |
-0.46, 0.01 |
0.062 |
    Other |
69 |
-0.22 |
-0.49, 0.06 |
0.121 |
HTN |
|
|
|
|
    N |
12 |
— |
— |
|
    Y |
516 |
-0.34 |
-0.92, 0.23 |
0.239 |
DM |
|
|
|
|
    N |
120 |
— |
— |
|
    Y |
408 |
0.31 |
0.08, 0.53 |
0.008 |
CAD |
|
|
|
|
    N |
65 |
— |
— |
|
    Y |
463 |
0.26 |
-0.03, 0.54 |
0.076 |
Dialysis_Vintage |
529 |
0.02 |
0.00, 0.04 |
0.025 |
HF_score |
529 |
0.12 |
0.02, 0.23 |
0.022 |
90 days poisson regression: group
Characteristic |
N |
IRR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.64 |
0.51, 0.79 |
<0.001 |
90 days poisson regression: group Age Gender Race_Group
Characteristic |
N |
IRR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.63 |
0.51, 0.78 |
<0.001 |
Age |
529 |
0.99 |
0.98, 1.00 |
0.010 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
1.23 |
0.99, 1.54 |
0.068 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
0.96 |
0.53, 1.61 |
0.900 |
    Black |
105 |
1.37 |
1.05, 1.77 |
0.018 |
    Other |
69 |
1.32 |
0.96, 1.81 |
0.083 |
90 days poisson regression: group+
Age+Gender+Race_Group+HTN+DM+CAD+Dialysis_Vintage+HF_score
Characteristic |
N |
IRR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.61 |
0.49, 0.76 |
<0.001 |
Age |
529 |
0.99 |
0.98, 1.00 |
0.032 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
1.29 |
1.03, 1.63 |
0.031 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
0.93 |
0.51, 1.56 |
0.810 |
    Black |
105 |
1.34 |
1.02, 1.74 |
0.031 |
    Other |
69 |
1.32 |
0.95, 1.81 |
0.091 |
HTN |
|
|
|
|
    N |
12 |
— |
— |
|
    Y |
516 |
0.89 |
0.46, 2.03 |
0.760 |
DM |
|
|
|
|
    N |
120 |
— |
— |
|
    Y |
408 |
0.98 |
0.74, 1.30 |
0.864 |
CAD |
|
|
|
|
    N |
65 |
— |
— |
|
    Y |
463 |
0.85 |
0.61, 1.21 |
0.359 |
Dialysis_Vintage |
529 |
0.94 |
0.90, 0.97 |
<0.001 |
HF_score |
529 |
0.89 |
0.79, 1.02 |
0.085 |
180 days poisson regression: group
Characteristic |
N |
IRR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.58 |
0.49, 0.69 |
<0.001 |
180 days poisson regression: Age Gender Race_Group
Characteristic |
N |
IRR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.58 |
0.49, 0.69 |
<0.001 |
Age |
529 |
0.99 |
0.98, 1.00 |
<0.001 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
0.99 |
0.83, 1.18 |
0.889 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
1.10 |
0.71, 1.63 |
0.660 |
    Black |
105 |
1.25 |
1.01, 1.54 |
0.040 |
    Other |
69 |
1.19 |
0.92, 1.53 |
0.178 |
180 days poisson regression: group+
Age+Gender+Race_Group+HTN+DM+CAD+Dialysis_Vintage+HF_score
Characteristic |
N |
IRR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.57 |
0.48, 0.68 |
<0.001 |
Age |
529 |
0.99 |
0.98, 1.00 |
0.004 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
1.03 |
0.86, 1.24 |
0.723 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
1.06 |
0.68, 1.57 |
0.780 |
    Black |
105 |
1.23 |
0.99, 1.53 |
0.058 |
    Other |
69 |
1.22 |
0.94, 1.58 |
0.135 |
HTN |
|
|
|
|
    N |
12 |
— |
— |
|
    Y |
516 |
0.71 |
0.43, 1.24 |
0.190 |
DM |
|
|
|
|
    N |
120 |
— |
— |
|
    Y |
408 |
0.89 |
0.71, 1.11 |
0.296 |
CAD |
|
|
|
|
    N |
65 |
— |
— |
|
    Y |
463 |
0.91 |
0.70, 1.21 |
0.520 |
Dialysis_Vintage |
529 |
0.93 |
0.90, 0.95 |
<0.001 |
HF_score |
529 |
0.88 |
0.80, 0.98 |
0.017 |
Univariate logistic regression outcome Binary Outcome is 1 or more
versus 0: more_vs_zero_90days
Characteristic |
N |
OR |
95% CI |
p-value |
group |
529 |
|
|
|
    BWH |
|
— |
— |
|
    MGH |
|
0.48 |
0.34, 0.68 |
<0.001 |
Age |
529 |
0.99 |
0.97, 1.00 |
0.037 |
Gender |
529 |
|
|
|
    Female |
|
— |
— |
|
    Male |
|
1.15 |
0.81, 1.62 |
0.434 |
Race_Group |
529 |
|
|
|
    White |
|
— |
— |
|
    Asian |
|
0.78 |
0.34, 1.74 |
0.554 |
    Black |
|
1.27 |
0.82, 1.97 |
0.289 |
    Other |
|
1.00 |
0.59, 1.67 |
0.985 |
HTN |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
1.22 |
0.39, 4.07 |
0.734 |
DM |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
1.04 |
0.69, 1.57 |
0.844 |
CAD |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
0.77 |
0.46, 1.30 |
0.334 |
Dialysis_Vintage |
529 |
0.92 |
0.87, 0.96 |
0.001 |
HF_score |
529 |
0.88 |
0.72, 1.08 |
0.221 |
weight.ATE |
529 |
1.05 |
0.91, 1.21 |
0.506 |
Multivariate logistic regression outcome Binary Outcome is 1 or more
versus: 0 more_vs_zero_90days
Characteristic |
N |
OR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.47 |
0.33, 0.67 |
<0.001 |
Age |
529 |
0.99 |
0.97, 1.00 |
0.052 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
1.15 |
0.80, 1.66 |
0.443 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
0.90 |
0.38, 2.04 |
0.804 |
    Black |
105 |
1.10 |
0.69, 1.75 |
0.703 |
    Other |
69 |
1.00 |
0.58, 1.73 |
0.996 |
Multivariate logistic regression outcome Binary Outcome is 1 or more
versus: 0 more_vs_zero_90days
Characteristic |
N |
OR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.44 |
0.31, 0.63 |
<0.001 |
Age |
529 |
0.99 |
0.97, 1.00 |
0.115 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
1.26 |
0.86, 1.85 |
0.232 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
0.83 |
0.35, 1.91 |
0.669 |
    Black |
105 |
1.07 |
0.66, 1.75 |
0.781 |
    Other |
69 |
0.99 |
0.56, 1.73 |
0.971 |
HTN |
|
|
|
|
    N |
12 |
— |
— |
|
    Y |
516 |
1.13 |
0.35, 3.93 |
0.835 |
DM |
|
|
|
|
    N |
120 |
— |
— |
|
    Y |
408 |
0.83 |
0.52, 1.33 |
0.439 |
CAD |
|
|
|
|
    N |
65 |
— |
— |
|
    Y |
463 |
0.79 |
0.44, 1.42 |
0.425 |
Dialysis_Vintage |
529 |
0.90 |
0.85, 0.95 |
<0.001 |
HF_score |
529 |
0.83 |
0.67, 1.04 |
0.101 |
Univariate logistic regression outcome Binary Outcome is 1 or more
versus: 0 more_vs_zero_180days
Characteristic |
N |
OR |
95% CI |
p-value |
group |
529 |
|
|
|
    BWH |
|
— |
— |
|
    MGH |
|
0.61 |
0.43, 0.86 |
0.005 |
Age |
529 |
0.99 |
0.98, 1.00 |
0.191 |
Gender |
529 |
|
|
|
    Female |
|
— |
— |
|
    Male |
|
0.88 |
0.62, 1.24 |
0.463 |
Race_Group |
529 |
|
|
|
    White |
|
— |
— |
|
    Asian |
|
1.09 |
0.49, 2.45 |
0.831 |
    Black |
|
1.16 |
0.74, 1.80 |
0.520 |
    Other |
|
0.79 |
0.47, 1.33 |
0.378 |
HTN |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
0.53 |
0.14, 1.67 |
0.295 |
DM |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
1.16 |
0.77, 1.75 |
0.469 |
CAD |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
0.85 |
0.50, 1.43 |
0.543 |
Dialysis_Vintage |
529 |
0.91 |
0.87, 0.96 |
<0.001 |
HF_score |
529 |
0.96 |
0.78, 1.17 |
0.667 |
weight.ATE |
529 |
1.00 |
0.87, 1.15 |
0.977 |
Multivariate logistic regression outcome Binary Outcome is 1 or more
versus: 0 more_vs_zero_180days
Characteristic |
N |
OR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.60 |
0.42, 0.85 |
0.004 |
Age |
529 |
0.99 |
0.98, 1.00 |
0.167 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
0.83 |
0.57, 1.18 |
0.300 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
1.20 |
0.53, 2.72 |
0.665 |
    Black |
105 |
1.03 |
0.65, 1.64 |
0.900 |
    Other |
69 |
0.71 |
0.41, 1.22 |
0.221 |
Multivariate logistic regression outcome Binary Outcome is 1 or more
versus: 0 more_vs_zero_180days
Characteristic |
N |
OR |
95% CI |
p-value |
group |
|
|
|
|
    BWH |
260 |
— |
— |
|
    MGH |
268 |
0.57 |
0.40, 0.80 |
0.002 |
Age |
529 |
0.99 |
0.98, 1.01 |
0.266 |
Gender |
|
|
|
|
    Female |
223 |
— |
— |
|
    Male |
305 |
0.87 |
0.60, 1.26 |
0.461 |
Race_Group |
|
|
|
|
    White |
327 |
— |
— |
|
    Asian |
26 |
1.17 |
0.51, 2.70 |
0.712 |
    Black |
105 |
1.07 |
0.66, 1.74 |
0.786 |
    Other |
69 |
0.70 |
0.40, 1.21 |
0.205 |
HTN |
|
|
|
|
    N |
12 |
— |
— |
|
    Y |
516 |
0.53 |
0.14, 1.71 |
0.305 |
DM |
|
|
|
|
    N |
120 |
— |
— |
|
    Y |
408 |
1.00 |
0.62, 1.58 |
0.983 |
CAD |
|
|
|
|
    N |
65 |
— |
— |
|
    Y |
463 |
0.86 |
0.48, 1.54 |
0.606 |
Dialysis_Vintage |
529 |
0.91 |
0.86, 0.95 |
<0.001 |
HF_score |
529 |
0.91 |
0.73, 1.13 |
0.398 |
Univariate linear regression decongestion_time_days
Characteristic |
N |
Beta |
95% CI |
p-value |
group |
529 |
|
|
|
    BWH |
|
— |
— |
|
    MGH |
|
-1.0 |
-1.6, -0.41 |
0.001 |
Age |
529 |
-0.01 |
-0.04, 0.01 |
0.289 |
Gender |
529 |
|
|
|
    Female |
|
— |
— |
|
    Male |
|
0.04 |
-0.59, 0.66 |
0.906 |
Race_Group |
529 |
|
|
|
    White |
|
— |
— |
|
    Asian |
|
-1.1 |
-2.5, 0.30 |
0.124 |
    Black |
|
-0.63 |
-1.4, 0.16 |
0.118 |
    Other |
|
-0.68 |
-1.6, 0.25 |
0.154 |
HTN |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
-0.29 |
-2.3, 1.8 |
0.779 |
DM |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
0.80 |
0.07, 1.5 |
0.033 |
CAD |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
0.85 |
-0.08, 1.8 |
0.074 |
Dialysis_Vintage |
529 |
-0.07 |
-0.13, -0.01 |
0.031 |
HF_score |
529 |
0.34 |
-0.03, 0.71 |
0.071 |
weight.ATE |
529 |
0.06 |
-0.19, 0.31 |
0.632 |
linear regression decongestion_time_days Multivariate regression:
age gender race
Characteristic |
Beta |
95% CI |
p-value |
group |
|
|
|
    BWH |
— |
— |
|
    MGH |
-1.0 |
-1.6, -0.44 |
<0.001 |
Age |
-0.02 |
-0.05, 0.01 |
0.117 |
Gender |
|
|
|
    Female |
— |
— |
|
    Male |
-0.07 |
-0.70, 0.56 |
0.829 |
Race_Group |
|
|
|
    White |
— |
— |
|
    Asian |
-0.93 |
-2.3, 0.48 |
0.197 |
    Black |
-0.86 |
-1.7, -0.05 |
0.039 |
    Other |
-0.76 |
-1.7, 0.18 |
0.113 |
linear regression decongestion_time_days Multivariate
regression:group+
Age+Gender+Race_Group+HTN+DM+CAD+Dialysis_Vintage+HF_score
Characteristic |
Beta |
95% CI |
p-value |
group |
|
|
|
    BWH |
— |
— |
|
    MGH |
-1.1 |
-1.7, -0.46 |
<0.001 |
Age |
-0.02 |
-0.05, 0.00 |
0.064 |
Gender |
|
|
|
    Female |
— |
— |
|
    Male |
-0.18 |
-0.81, 0.45 |
0.577 |
Race_Group |
|
|
|
    White |
— |
— |
|
    Asian |
-0.92 |
-2.3, 0.47 |
0.195 |
    Black |
-0.74 |
-1.6, 0.07 |
0.074 |
    Other |
-0.89 |
-1.8, 0.05 |
0.065 |
HTN |
|
|
|
    N |
— |
— |
|
    Y |
-0.06 |
-2.1, 1.9 |
0.949 |
DM |
|
|
|
    N |
— |
— |
|
    Y |
0.50 |
-0.28, 1.3 |
0.210 |
CAD |
|
|
|
    N |
— |
— |
|
    Y |
0.58 |
-0.40, 1.6 |
0.247 |
Dialysis_Vintage |
-0.06 |
-0.12, 0.01 |
0.080 |
HF_score |
0.30 |
-0.07, 0.66 |
0.113 |
Competing risk 1st_readmission_180
## Estimate Robust SE z-value p-value Hazard Ratio
## [1,] "$-0.427$" "$0.188$" "$-2.268$" "$0.023$*" "$0.652$"
## 95\\% CI
## [1,] "($0.451$, $0.944$)"
Univariate coxph time_1st_readmission_180
Characteristic |
N |
HR |
95% CI |
p-value |
group |
529 |
0.67 |
0.46, 0.96 |
0.029 |
Age |
529 |
0.99 |
0.98, 1.01 |
0.278 |
Gender |
529 |
|
|
|
    Female |
|
— |
— |
|
    Male |
|
1.01 |
0.70, 1.46 |
0.952 |
Race_Group |
529 |
|
|
|
    White |
|
— |
— |
|
    Asian |
|
1.15 |
0.56, 2.37 |
0.698 |
    Black |
|
1.22 |
0.77, 1.95 |
0.390 |
    Other |
|
1.10 |
0.62, 1.94 |
0.747 |
HTN |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
0.72 |
0.31, 1.70 |
0.460 |
DM |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
1.16 |
0.74, 1.81 |
0.515 |
CAD |
529 |
|
|
|
    N |
|
— |
— |
|
    Y |
|
0.83 |
0.52, 1.34 |
0.454 |
Dialysis_Vintage |
529 |
0.95 |
0.91, 0.99 |
0.021 |
HF_score |
529 |
0.98 |
0.78, 1.22 |
0.828 |
HD_Unit |
529 |
|
|
|
    No |
|
— |
— |
|
    Yes |
|
0.90 |
0.52, 1.55 |
0.695 |
weight.ATE |
529 |
1.03 |
0.85, 1.27 |
0.741 |
coxph time_1st_readmission_180 Multivariate linear regression los:
age gender race
Characteristic |
HR |
95% CI |
p-value |
group |
0.66 |
0.46, 0.95 |
0.026 |
Age |
0.99 |
0.98, 1.01 |
0.315 |
Gender |
|
|
|
    Female |
— |
— |
|
    Male |
1.02 |
0.69, 1.49 |
0.935 |
Race_Group |
|
|
|
    White |
— |
— |
|
    Asian |
1.20 |
0.56, 2.59 |
0.634 |
    Black |
1.17 |
0.73, 1.86 |
0.514 |
    Other |
1.11 |
0.63, 1.95 |
0.725 |
coxph time_1st_readmission_180 Multivariate linear regression:group+
Age+Gender+Race_Group+HTN+DM+CAD+Dialysis_Vintage+HF_score
decongestion_time_days,n_90,n_180,time_1st_readmission_180
|
1 (N=118) |
2 (N=159) |
Overall (N=277) |
decongestion_time_days |
|
|
|
Mean (SD) |
2.70 (3.21) |
1.50 (1.80) |
2.01 (2.56) |
Median [Q1,Q3] |
2.00 [0.250,3.75] |
1.00 [0,2.00] |
2.00 [0,3.00] |
n_90 |
|
|
|
Mean (SD) |
0.847 (0.975) |
0.497 (0.778) |
0.646 (0.883) |
Median [Q1,Q3] |
1.00 [0,1.00] |
0 [0,1.00] |
0 [0,1.00] |
n_180 |
|
|
|
Mean (SD) |
1.36 (1.63) |
0.736 (1.03) |
1.00 (1.35) |
Median [Q1,Q3] |
1.00 [0,2.00] |
0 [0,1.00] |
1.00 [0,1.00] |
time_1st_readmission_180 |
|
|
|
Mean (SD) |
99.7 (74.1) |
123 (70.0) |
113 (72.6) |
Median [Q1,Q3] |
88.5 [26.3,180] |
180 [47.0,180] |
169 [35.0,180] |
HR Time to decongestion Multivariate model

Linear regression to decongestion Multivariate model
